Data Scientist III
Tasks
- Build production ready models and analyses
- Communicate findings to technical and non-technical audiences
- Create and maintain feature engineering pipelines
- Deploy and monitor machine learning models
- Design validation frameworks for models and experiments
- Improve team data science best practices
- Lead design and analysis of A/B tests
- Mentor junior data scientists
- Own end-to-end data science lifecycle
- Partner with product and engineering on success metrics
- Troubleshoot model performance issues and data anomalies
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | BigQuery | Causal Inference | Cloud Dataflow | Data Processing | Deep Neural Networks | Distributed data | Distributed data processing | Experiment design | Feature Engineering | Google Cloud | Google Cloud Dataflow | Gradient boosting | Kubeflow | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Neural Networks | Probability | PyTorch | Python | SQL | Statistics | TFX | TensorFlow | Time Series | Vertex AI
Education
Roles
Regions
Countries
States
Cities
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